The choice of C++ distributed message system can be decided according to actual needs and environment. The following are several popular C++ distributed message systems:
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ZeroMQ: ZeroMQ is a high-performance asynchronous message library that adopts a lightweight message broker model and supports multiple message transmission protocols and network protocols, including TCP/IP, inproc, and IPC. ZeroMQ is suitable for distributed systems requiring high performance, high peak load processing and parallel processing scenarios.
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Kafka: Kafka is a distributed message publishing and subscription system that supports high-throughput message transmission and storage. Kafka adopts a disk-based storage method, supports streaming data processing and real-time data analysis, and is suitable for scenarios that require distributed log processing.
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RabbitMQ: RabbitMQ is an open source AMQP message broker system that supports multiple programming languages and message transmission protocols, and provides functions such as reliable message transmission, data persistence, and elastic message queues. RabbitMQ is suitable for distributed systems that require high reliability and transaction security.
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ActiveMQ: ActiveMQ is an open source JMS implementation that supports multiple message models and transport protocols, including point-to-point, publish-subscribe, and message grouping. ActiveMQ provides functions such as high reliability, distributed system collaboration, and data persistence, and is suitable for scenarios that require efficient communication and heterogeneous system integration.
It should be noted that none of the systems recommended above are "pure" C++ implementations, and need to be called through the C++ client. Since these systems have extensive user groups and community support, they are widely used in both personal development projects and commercial applications.
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